Does my AI API provider share my data with third parties? Sometimes — not always maliciously. Cloud AI stacks include hosting providers, model licensors, analytics, abuse detection, and support tooling. Your job is to map that chain.
What "sharing" includes
- Subprocessors processing data under contract
- Abuse monitoring vendors scanning prompts
- Analytics on latency and error rates (hopefully metadata-only)
- Human review on flagged content (rare but policy-defined)
- Training if you did not opt out
How to read a privacy policy quickly
1. Search for retention duration
2. Search for training and improve models
3. Find subprocessor list
4. Check enterprise vs consumer differences
5. Note geographic processing
Baseline explainer: What happens to your data with an AI API.
Red flags
- No subprocessors named
- "We may use content to improve services" without opt-out
- Free tier with weaker guarantees than paid
- Resellers who will not name upstream model host
Technical mitigations
- Minimize PII in prompts
- Redact secrets client- and server-side
- Use your VPC or local models for sensitive steps (open source vs paid)
- Sign DPAs before regulated data
Flat-rate vs token pricing (privacy angle)
Billing model does not imply privacy. Judge terms, not price shape. Review Daymora's current policy when you subscribe (pricing).
Related fear query: Is my AI API stealing my data?.
Bottom line
Providers share data with infrastructure partners by necessity. Your due diligence is subprocessors, retention, and training opt-outs — then send the minimum payload that still solves the user problem.